Impact of tidal energy on battery sizing in standalone microgrids: A case study
School of Engineering
This paper investigates the impact of adding tidal energy on the size of battery energy storage (BES) required to absorb power fluctuations present in a standalone microgrid with wind, solar and diesel engine is driven generation sources. The Flinders Island power system is chosen as the standalone microgrid for the case study. In addition to the battery capacity, emissions and operational costs are also taken as the variables that should be minimized in optimization problem formulated in this study. In order to solve this multi-objective optimization problem an intelligent expert fuzzy system - grey wolf optimization (FL-GWO) algorithm is proposed in this paper. Different scenarios based on the weather conditions in the Flinders Island is considered to demonstrate the robust performance of the proposed (FL-GWO) method. The numerical results show that when tidal energy is introduced the required battery capacity dropped from 300kWh to 250kWh which is equivalent to 16.67% drop. The effectiveness of the FL-GWO is validated by comparing it with other existing approaches such as the rules-based method and conventional GWO algorithm.